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AI Agents & Internal Assistants

Give intelligencea job worth doing.

An assistant should make a capable team more capable. We design agents around real work: finding the right context, preparing a useful answer and moving a defined job forward.

Not another place to paste a prompt. A working part of your operation.

Talk through the opportunitySee how it works
Start with a job, not a personality

A capable assistant.
A clear responsibility.

A chat window is an interface. The value comes from the work behind it: the context it can retrieve, the tools it can use and the quality of what reaches the next person.

We start with a recurring job your team already recognizes. Then we connect the knowledge, decisions and systems needed to do it well.

When the job belongs in a workflow
From question to usable work

See the responsibility.
Not just the response.

Explore three possible jobs. Change the available context and see how the handoff should change with it.

Choose a useful job
Example job / Account research

Why is this account worth a conversation?

  1. The context

    A named account, your fit criteria and the sources the researcher is allowed to use.

  2. The judgment

    Find relevant evidence, compare it with your criteria and distinguish a supported observation from a guess.

What does the assistant have to work with?
03 / Prepared for a person to use

A short account brief: why it fits, the sources behind that view, what remains unknown and a useful conversation angle.

A seller decides whether the evidence supports outreach and how to approach the account.

Beyond the clever answer

Make the work
repeatable.

The part people see is the answer. The part that makes it useful is the operating design around it.

Knowledge with a source

Connect the material the job actually needs. Keep provenance, permissions and freshness visible instead of treating every available document as equally reliable.

Tools with a purpose

Give the assistant a defined set of actions. Retrieval, drafting, record preparation and execution are different responsibilities, not one blanket permission.

A useful place to work

Put the output where the team can inspect it, edit it and use it. That may be an existing tool, a review queue or a focused internal workspace.

A standard that survives launch

Use representative examples, exception handling and execution records to assess the work. Agree who maintains the system as the process and its sources change.

A working example, not a slide

Meet Sloan.
Then look behind the conversation.

Our own conversation workspace brings public knowledge, a working brief and a human next step into one experience. Explore it alongside other working tools.

See what we've built
Before we build

Good questions.
Clear answers.

What is the difference between an agent and an internal assistant?

An internal assistant helps a person find, understand or prepare information. An agent can also choose among approved tools and carry a defined job through several steps. The useful distinction is responsibility: what it can see, what it can do and when a person takes over.

Does every workflow need an agent?

No. Predictable inputs and fixed rules usually belong in ordinary automation. We use model judgment where interpretation, changing information or unstructured material makes it useful, and explicit rules where consistency matters.

Can it use our existing documents and systems?

We scope the sources, permissions and integrations around the job. That can include an approved document library, CRM records or operational tools. Available APIs, source quality and access requirements determine what can be connected.

How do we know whether it is good enough to use?

We test representative work, difficult exceptions and missing information against criteria agreed with the people who own the job. A fluent answer is not sufficient. Evidence quality, task completion, appropriate escalation and operating cost all matter.

Who owns the work after launch?

A named person on your team owns the business decision. We agree implementation, documentation, training, evaluation and support responsibilities in the scope. Model usage and other platform costs are addressed explicitly rather than assumed to be included.

Built with a purpose. Led by a person.

What should work
better for your team?

Bring the process, the friction and the ambition. Travis will help identify the useful next piece - and whether it needs to be built at all.

Talk with Travis How we work